{"id":"W4413856531","doi":"10.1093/noajnl/vdaf166.006","title":"17 CHROMOSOME 1P LOSS AND 1Q GAIN ARE HIGHLY PROGNOSTIC AND CAN INFORM WHO GRADING OF MENINGIOMA","year":2025,"lang":"en","type":"article","venue":"Neuro-Oncology Advances","topic":"Meningioma and schwannoma management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grading (engineering); Meningioma; Medicine; Oncology; Biology; Radiology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001851496,0.0001919122,0.000541805,0.000277344,0.0001296653,0.00001660044,0.00009437325,0.00009452263,0.00001116929],"category_scores_gemma":[0.0003019052,0.0001679154,0.00004124622,0.0002500302,0.000318602,0.000149916,0.0001432922,0.0001811806,9.783895e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004901289,"about_ca_system_score_gemma":0.00007656357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001011611,"about_ca_topic_score_gemma":0.00002830217,"domain_scores_codex":[0.9987701,0.00005542711,0.0003707697,0.0003485493,0.0001608313,0.0002943391],"domain_scores_gemma":[0.9989814,0.0004311561,0.000211873,0.0001979352,0.00006364423,0.00011399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001045001,0.0003377738,0.8626375,0.002963734,0.0004406762,0.006714937,0.002233232,0.00005282409,0.04168606,0.01384459,0.004680711,0.06336296],"study_design_scores_gemma":[0.01419488,0.008909571,0.5906327,0.002461053,0.001595014,0.003336391,0.004459964,0.001589318,0.05838872,0.00675614,0.3065732,0.00110307],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850709,0.00274567,0.00006157508,0.003674031,0.0002691894,0.0005689897,0.000007713067,0.00005666769,0.007545195],"genre_scores_gemma":[0.9978881,0.000260528,0.0006060457,0.000555591,0.00005670324,0.00005793129,0.000007479707,0.00001091628,0.0005567432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3018925,"threshold_uncertainty_score":0.6847392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01271839464316366,"score_gpt":0.2868064403214995,"score_spread":0.2740880456783358,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}